Senior Data Scientist - Election & News Products

About the role

As a Senior Data Scientist,U.S. Elections,you will: - Partner witheditorial leaders, newsroom stakeholders, and product managersto translate editorial goals into data science problems and measurable outcomes. - Developand refine Reuters' expected vote model, anddesign the data quality controls that catch anomalies in incoming results from counties and states across the U.S. - Help shape the roadmap for Reuters' elections data products heading into the 2028 presidential cycle, partnering with editorial, engineering, and product to expandour offerings. - Design, build, and deploymachine learning and statistical modelsthat support editorial news products. - Design andmaintaindata pipelines and feature stores in collaboration with engineering teams. - Clearly communicate insights,trade-offs, and recommendations to both technical and nontechnical audiences, including newsroom stakeholders. - Mentor and coach junior data scientists and analysts, setting best practices for analytical rigor and responsible AI. - Stay current with advances inAI for media and newsproducts,andhelp drive their responsible adoption across the organization. About You You are a strong candidate for this role if you have: - 6-10 years of experiencein data science, machine learning, or applied AI, with a strongtrack recordof production delivery. - Prior experience working with U.S. elections data - ideally on a previous election cycle - and a working familiarity with concepts such as expected vote, swing states, opinion polling, voting patterns, and vote types (absentee, early, mail-in) at the county and state level. - A degree in a quantitative field such asComputer Science, Statistics, Data Science, or Engineering(or equivalent experience). - StrongproficiencyinPython, SQL, and modern data platforms (e.g., Snowflake). - Hands-on experience buildinggenerative AI solutionsusing large language models (e.g.,GPTstyleor opensource models), including prompt engineering, RAG, andagent-basedapproaches. - Familiarity withAWS-based ML tooling(e.g., SageMaker) and scalable model deployment patterns. - Experience building or collaborating ondata pipelinesusing tools such as AWS Glue or similar orchestrationframeworks. - A product-oriented mindset, with the ability to balance editorial quality, user value, and technical feasibility. - Excellent communication skills and the ability to work effectively with journalists, editors, product managers, and engineers. - A genuine interest injournalism, news products, and the responsible use of AI in editorial contexts. Please Note: Complete applications must be submitted by Sunday 31st May 2026. #LI-JB2 What's in it For You? - Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. - Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. - Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. - Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. - Culture: Globally recognized, award-winning